Jorge LeonelDecision TreesDecision tree is a type of supervised learning algorithm (having a pre-defined target variable). Trees are typically used in…Dec 3, 2019Dec 3, 2019
Jorge LeonelClusteringClustering is the task of dividing data points into groups, such that data points in the same groups are more similar to other data points…Nov 3, 2019Nov 3, 2019
Jorge LeonelLogistic RegressionLogistic Regression is a supervised learning Classification algorithm, usually deployed to predict a binary outcome (1 / 0, Yes / No, True…Oct 27, 2019Oct 27, 2019
Jorge LeonelClassification Methods in Machine LearningClassification is a supervised machine learning approach, in which the algorithm learns from the data input provided to it — and then uses…Oct 9, 2019Oct 9, 2019
Jorge LeonelArtificial IntelligenceAI (Artificial Intelligence) can be loosely defined as the study and design of intelligent agents — where an intelligent agent is a system…Oct 4, 2019Oct 4, 2019
Jorge LeonelBias / Variance in Machine LearningThe goal of supervised machine learning (ML) algos is to estimate the mapping function (f) for the output variable (Y), given input data…Mar 31, 2019Mar 31, 2019
Jorge LeonelMultilayer PerceptronWe've seen here that the Perceptron, that neural network whose name evokes how the future looked from the perspective of the 1950s, is a…Oct 29, 2018Oct 29, 2018
Jorge LeonelActivation FunctionsActivation Functions are decision making units of neural networks. They calculate net output of a neural node.Oct 24, 2018Oct 24, 2018
Jorge LeonelBackpropagationBackpropagation is a commonly used method for training artificial neural networks, especially deep neural networks. Backpropagation is…Oct 5, 2018Oct 5, 2018